VP, AI
Listed on 2026-07-13
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Immigration / Work Authorization Notice
Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.
About the CompanyiSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start‑ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You’ll Be Part OfAt iSpot, we are transforming how brands, agencies, publishers, and platforms measure advertising outcomes across linear, streaming, and digital ecosystems. Artificial Intelligence is a critical part of our product strategy and future growth.
Role OverviewAs Vice President of AI, you will lead the development and execution of AI‑powered capabilities across iSpot’s customer‑facing product portfolio, with responsibility spanning our Creative, Audience, and Outcomes (CAO) product lines. Your mission is to identify, build, and scale innovative AI solutions that create measurable business value, accelerate product differentiation, and unlock new revenue opportunities.
Responsibilities- Define and execute iSpot’s AI product strategy across the Creative, Audience, and Outcomes (CAO) product portfolio.
- Identify high‑value opportunities to apply generative AI, agentic systems, machine learning, and advanced analytics to deliver differentiated customer experiences and measurable business outcomes.
- Lead the incubation, prototyping, and commercialization of AI‑powered products and features across creative intelligence, audience measurement, and outcome attribution solutions.
- Partner with Product and Engineering leaders to embed AI capabilities into existing products and future roadmaps.
- Establish technical direction and architectural patterns for scalable, secure, and responsible AI systems.
- Build and lead a high‑performing team of AI engineers, scientists, and product specialists focused on customer‑facing innovation.
- Drive experimentation frameworks that enable rapid validation of new AI concepts while maintaining strong execution discipline.
- Collaborate directly with customers, partners, and commercial teams to understand market needs and translate them into differentiated AI capabilities.
- Evaluate emerging AI technologies, vendors, and platforms to accelerate time‑to‑market and maximize business impact.
- Ensure responsible AI practices, governance, security, privacy, and compliance considerations are embedded into all customer‑facing solutions.
- Define success metrics and business outcomes for AI initiatives, including customer adoption, revenue impact, operational efficiency, and product differentiation.
- Represent iSpot externally as a thought leader on AI innovation within advertising, media measurement, audience intelligence, and marketing technology.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; advanced degree preferred.
- 15+ years of technology leadership experience, including significant experience building AI, machine learning, or data‑driven products.
- Proven track record of delivering customer‑facing AI products that have created measurable business impact.
- Deep understanding of modern AI technologies, including large language models, agentic systems, retrieval architectures, machine learning platforms, and generative AI applications.
- Experience leading cross‑functional organizations spanning engineering, product management, and data science.
- Strong technical depth with the ability and willingness to remain hands‑on when necessary.
- Excellent communication skills and the ability to translate complex technical concepts into clear business outcomes.
- Demonstrated success operating in fast‑paced, high‑growth environments and driving organizational change.
- Strong understanding of responsible AI principles, data governance, privacy, and enterprise security.
- Experience with in advertising technology, media measurement, marketing technology, or consumer insights platforms.
- Exp…
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